EXPRESSION OF CONCERN: Real Time Monitoring Research on Rehabilitation Effect of Artificial Intelligence Wearable Equipment on Track and Field Athletes
DOI:
https://doi.org/10.4108/eetpht.10.5150Keywords:
artificial intelligence, sports medicine, wearable devices, track and field athletesAbstract
EXPRESSION OF CONCERN: Concerns have been raised over the peer review and editorial processes involving this article. The full notice can be found here: https://doi.org/10.4108/eetpht.11.12624
Downloads
References
WANG W, YIN G. Analysis and research on the application of internet technology in sports track and field teaching[J/OL]. Journal of Physics: Conference Series, 2021, 1881(4): 042026 (7pp). DOI:10.1088/1742-6596/1881/4/042026.
GHARAEI N, ISMAIL W, GROSAN C, et al. Optimizing the setting of medical interactive rehabilitation assistant platform to improve the performance of the patients: A case study[J]. Artificial Intelligence in Medicine, 2021(1): 102151.
MUN E Mi, CHO Jaehyuk. Review of Internet of things-based artificial intelligence analysis method through Real Time indoor air quality and health effect monitoring: Focusing on indoor air pollution harmful to the respiratory organ[J/OL]. Tuberculosis and respiratory diseases, 2022(1): 56-66. DOI:10.4046/trd.2022.0087.
HUSSAIN K, WANG X, OMAR Z, et al. Robotics and artificial intelligence applications in managing and controlling the COVID-19 pandemic[J/OL]. 2021: 101-110. DOI:10.1109/ICCCR49711.2021.9349386.
PASCHOS N K. Editorial commentary: Artificial intelligence in sports medicine diagnosis needs to improve[J/OL]. Arthroscopy The Journal of Arthroscopic and Related Surgery, 2021, 37(2): 782-783. DOI:10.1016/j.arthro.2020.11.023.
MU P, DAI M, MA X. Application of artificial intelligence in rehabilitation assessment[J/OL]. Journal of Physics Conference Series, 2021, 1802(3): 032057. DOI:10.1088/1742-6596/1802/3/032057.
TURNER, D., PERA, et al. Wearable Internet of Medical Things sensor devices, big healthcare data, and artificial intelligence-based diagnostic algorithms in Real Time COVID-19 detection and monitoring systems[J]. American journal of medical research., 2021(2): 8.
JIAMIN L, PING W. Design of Real Time monitoring system for liquid flow standard device based on internet of things[J/OL]. Journal of Physics: Conference Series, 2021, 1965(1): 012032 (6pp). DOI:10.1088/1742-6596/1965/1/012032.
SPRECO A, KOWALSKI J, BARGORIA V, et al. Suicidal thoughts (ideation) among elite athletics (track and field) athletes: associations with sports participation, psychological resourcefulness and having been a victim of sexual and/or physical abuse[J/OL]. British Journal of Sports Medicine, 2021, 55(4): 198-205. DOI:10.1136/bjsports-2019-101386.
LAMBERT M. Entering the era of artificial intelligence (AI) in publishing[J/OL]. South African Journal of Sports Medicine, 2023: 23-29. DOI:10.17159/2078-516X/2023/v35i1a15511.
PASCHOS N K. Author reply: Artificial intelligence in sports medicine[J/OL]. Arthroscopy: The Journal of Arthroscopic & Related Surgery, 2021, 37(5): 1368-1369. DOI:10.1016/j.arthro.2021.03.013.
CHIDAMBARAM Swathikan, MAHESWARAN Yathukulan, PATEL Kian, et al. Using artificial intelligence-enhanced sensing and wearable technology in sports medicine and performance optimisation[J/OL]. Sensors (Basel, Switzerland), 2022, 22(18): 1-18. DOI:10.3390/s22186920.
LI L. Summary of the research status of artificial intelligence in sports performance analysis of athletes[J]. Open Access Library Journal, 2023, 10(8): 7.
LIYAO R. Design innovation driven by artificial intelligence AI multifunctional wheelchair design based on the needs of patients with ALS[J/OL]. Journal of Physics: Conference Series, 2021, 1880(1): 012022 (7pp). DOI:10.1088/1742-6596/1880/1/012022.
AWOTUNDE J B, AJAGBE S A, FLOREZ H. Internet ofThings withWearable devices andArtificial intelligence forElderly uninterrupted healthcare monitoring systems[J]. 2022: 34-50.
HE Q, LI X, LI W. Common sports injuries of track and field athletes using cloud computing and internet of things[J/OL]. International Journal of Computational Intelligence Systems, 2023, 16(1): 56-71. DOI:10.1007/s44196-023-00257-y.
LU Y, PAREEK A, YANG L, et al. Deep learning artificial intelligence tool for automated radiographic determination of posterior tibial slope in patients with ACL injury:[J/OL]. Orthopaedic Journal of Sports Medicine, 2023, 11(12): 2492-2498. DOI:10.1177/23259671231215820.
HURST S, LARSON A, DEBELISO M. Examination of anxiety levels: Practice vs. Competition among high school track and field athletes[J]. Scientific & Academic Publishing, 2021(2): 1-21.
LLOYD D. The future of in-field sports biomechanics: wearables plus modelling compute Real Time in vivo tissue loading to prevent and repair musculoskeletal injuries[J/OL]. Sports Biomechanics, 2021(11): 1-29. DOI:10.1080/14763141.2021.1959947.
WANG W, CHEN X. Content system of physical fitness training for track and field athletes and evaluation criteria of some indicators based on artificial neural network[J]. Discrete Dynamics in Nature and Society, 2022, 2022: 666.
DANIEL A, LOPEZ D, LATTANZI G, et al. Medical devices, smart drug delivery, wearables and technology for treating Diabetes Mellitus[J]. Advanced Drug Delivery Reviews, 2022, 202(8): 34-57.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Bin Wu

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
